Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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A Framework for Electroencephalogram Process at Real-Time using Brainwave

  • Sung, Yun-Sick (Dept. of Game Engineering, Graduate School of Dongguk) ;
  • Cho, Kyung-Eun (Dept. of Multimedia Engineering, Dongguk University) ;
  • Um, Ky-Hyun (Dept. of Multimedia Engineering, Dongguk University)
  • Received : 2011.01.27
  • Accepted : 2011.07.25
  • Published : 2011.09.30
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Abstract

Neuro feedback training using ElectroEncephalo Grams (EEGs) is commonly utilized in the treatment of Alzheimer's disease, and Attention Deficit Hyperactivity Disorder (ADHD). Recently, BCI (Brain-computer Interface) contents have developed, not for the purpose of treatment, but for concentration improvement or brain relaxation training. However, as each user has different wave forms, it is hard to develop contents controlled by such different wave. Therefore, an EEG process that allows the ability to transform the variety of wave forms into one standard signal and use it without taking a user's characteristic of EEG into account, is required. In this paper, a framework that can reduce users' characteristics by normalizing and converting measured EEGs is proposed for contents. This framework also contains the process that controls different brainwave measuring devices. In experiment a handling process applying the proposed framework to the developed BCI contents is introduced.

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References

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